Natural Product: NPC603867

Natural Product IDNPC603867
Common Name
?
The InCHIKey will be temporarily assigned as the "Common Name" if no IUPAC name or alternative short name is available.
BYSLEZZCJZXNQG-FZHSXGHWSA-N
IUPAC Name n.a.
Synonyms
Synthetic Gene Cluster n.a.
ChEMBL Identifier CHEMBL4528043
PubChem CID n.a.
Chemical Classification
  • CHEMONTID:0000000 [Organic compounds]

The Chemical Classification was calculated by Classyfire, a software for chemical taxonomy calculation. Reference: DOI:10.1186/s13321-016-0174-y.

  Chemical Representations

Standard InCHIKey BYSLEZZCJZXNQG-FZHSXGHWSA-N
Standard InCHI InChI=1S/C38H48O6/c1-21(2)11-10-12-24(7)14-16-26-31(39)27(15-13-22(3)4)34-30(32(26)40)33(41)28-19-25-20-29-36(8,9)44-37(35(25)42,18-17-23(5)6)38(28,29)43-34/h11,13-14,17,19,25,29,39-40H,10,12,15-16,18,20H2,1-9H3/b24-14+/t25-,29+,37+,38-/m1/s1
SMILES CC(C)=CCC/C(C)=C/Cc1c(O)c(CC=C(C)C)c2c(c1O)C(=O)C1=C[C@@H]3C[C@H]4C(C)(C)O[C@@](CC=C(C)C)(C3=O)[C@@]14O2

  Calculated Properties

Physi-Chem Properties

Molecular Weight:   600.35 Volume:   649.398
?
Van der Waals volume.
Dense:   0.924 LogP:   8.632
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The logarithm of the n-octanol/water distribution coefficients.
logD7.4:   5.244
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The logarithm of the n-octanol/water distribution coefficient at pH=7.4.
LogS:   -6.029
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The logarithm of aqueous solubility value.
Rotatable Bonds:   9.0 Rigid Bonds:   28.0
TPSA:   93.06
?
Topological Polar Surface Area.
H-Bond Acceptor:   6.0
H-Bond Donor:   2.0 Rings:   6.0
Heavy Atoms:   6.0

MedChem Properties

QED Drug-Likeness Score:   0.278 GASA:   1.0
?
GASA represents the probability of being difficult to synthesize, ranging from 0 to 1.
Synthetic Accessibility Score:   6.387 Fsp3:   0.526
MCE-18:   164.069
?
MCE-18 stands for medicinal chemistry evolution.MCE-18≥45 is considered a suitable value.
Lipinski Rule-of-5:   Accepted
Pfizer Rule:   Rejected GSK Rule:   Accepted
Golden Triangle Rule:   Accepted BMS Rule:   0
Chelating Alert:   0 PAINS Alert:   0
Colloidal aggregators:   0.997 Fluc inhibitor:   0.103
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The fluc inhibitor value is the probability of being fLuc inhibitors, within the range of 0 to 1.
Blue fluorescence:   0.675
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The blue fluorescence value is the probability of being blue fluorescence, within the range of 0 to 1
Green fluorescence:   0.9
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The green fluorescence value is the probability of being green fluorescence, within the range of 0 to 1
Reactive compounds:   0.426 Promiscuous compounds:   0.237

ADMET Properties (ADMETlab3.0)

ADMET: Absorption

Caco-2 Permeability:   -4.954 MDCK Permeability:   -4.67
Pgp-inhibitor:   1.0 Pgp-substrate:   0.011
PAMPA:   0.08
?
The experimental data for Peff was logarithmically transformed (logPeff). Molecules with log Peff values below 2.0 were classified as low-permeability (Category 0), while those with log Peff values exceeding 2.5 were classified as high-permeability (Category 1).
Human Intestinal Absorption (HIA):   0.005
20% Bioavailability (F20%):   0.976 30% Bioavailability (F30%):   0.997
50% Bioavailability (F50%):   1.0

ADMET: Distribution

Blood-Brain-Barrier Penetration (BBB):   0.0 MRP1:   0.941
Plasma Protein Binding (PPB):   96.15% Volume Distribution (VD):   0.274
Fu: 4.193%
?
The fraction unbound in plasms.
OATP1B1 inhibitor:   1.0
OATP1B3 inhibitor:   0.961 BCRP inhibitor:   0.628
BSEP inhibitor:   0.994

ADMET: Metabolism

CYP1A2-inhibitor:   0.0 CYP1A2-substrate:   1.0
CYP2C19-inhibitor:   1.0 CYP2C19-substrate:   1.0
CYP2C9-inhibitor:   0.0 CYP2C9-substrate:   0.046
CYP2D6-inhibitor:   0.001 CYP2D6-substrate:   0.188
CYP3A4-inhibitor:   0.953 CYP3A4-substrate:   1.0
CYP2B6-substrate:   0.0 CYP2C8-inhibitor:   1.0
HLM stability:   1.0
?
Human liver microsomal (HLM) stability. Category 0: stable+ (HLM > 30 min); Category 1: unstable- (HLM ≤ 30 min). The output value is the probability of human liver microsomal instability, where a value closer to 1 indicates a higher likelihood of instability.

ADMET: Excretion

Clearance (CL):  5.664 Half-life (T1/2):  1.02

ADMET: Toxicity

hERG Blockers:  0.112 hERG Blockers (10um):  0.665
Human Hepatotoxicity (H-HT):  0.96 Drug-induced Liver Injury (DILI):  0.871
AMES Toxicity:  0.492 Rat Oral Acute Toxicity:  0.973
Maximum Recommended Daily Dose:  0.9 Skin Sensitization:  0.996
Carcinogencity:  0.396 Eye Corrosion:  0.0
Eye Irritation:  0.009 Respiratory Toxicity:  0.98
Drug-induced Neurotoxicity:  0.505 Ototoxicity:  0.943
Hematotoxicity:  0.887 Drug-induced Nephrotoxicity:  0.934
Genotoxicity:  0.997 RPMI-8226 Immunitoxicity:  0.416
A549 Cytotoxicity:  0.685 Hek293 Cytotoxicity:  0.657
BCF:   1.964
?
Bioconcentration factors are used for considering secondary poisoning potential and assessing risks to human health via the food chain. The unit is -log10[(mg/L)/(1000*MW)].
IGC50:   5.769
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48 hour Tetrahymena pyriformis IGC50. The unit of IGC50 is -log10[(mg/L)/(1000*MW)].
LC50DM:   8.126
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48 hour Daphnia magna LC50. The unit of LC50DM is -log10[(mg/L)/(1000*MW)].
LC50FM:   8.125
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96 hour fathead minnow LC50. The unit of LC50FM is -log10[(mg/L)/(1000*MW)].

  Species Source

Organism ID Organism Name Taxonomy Level Family SuperKingdom Isolation Part Collection Location Collection Time Reference
NPO13310 Garcinia hanburyi Species Clusiaceae Eukaryota n.a. latex n.a. PMID[17117343]
NPO13310 Garcinia hanburyi Species Clusiaceae Eukaryota n.a. fruit n.a. PMID[17117343]
NPO13310 Garcinia hanburyi Species Clusiaceae Eukaryota resin n.a. n.a. PMID[19072548]
NPO13310 Garcinia hanburyi Species Clusiaceae Eukaryota n.a. n.a. n.a. PMID[21486005]
NPO13310 Garcinia hanburyi Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[COCONUT]
NPO13310 Garcinia hanburyi Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[TCMID]
NPO13310 Garcinia hanburyi Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[TM-MC]
NPO13310 Garcinia hanburyi Species Clusiaceae Eukaryota n.a. n.a. n.a. Database[UNPD]

Note for Reference:
In addition to directly collecting NP source organism data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated them from below databases:
UNPD: Universal Natural Products Database [PMID: 23638153].
StreptomeDB: a database of streptomycetes natural products [PMID: 33051671].
TM-MC: a database of medicinal materials and chemical compounds in Northeast Asian traditional medicine [PMID: 26156871].
TCM@Taiwan: a Traditional Chinese Medicine database [PMID: 21253603].
TCMID: a Traditional Chinese Medicine database [PMID: 29106634].
TCMSP: The traditional Chinese medicine systems pharmacology database and analysis platform [PMID: 24735618].
HerDing: a herb recommendation system to treat diseases using genes and chemicals [PMID: 26980517].
MetaboLights: a metabolomics database [PMID: 27010336].
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].



  NP Quantity Composition/Concentration

Organism ID Organism Name Organism Material Preparation Organism Part NP Quantity (Standard) NP Quantity (Minimum) NP Quantity (Maximum) Quantity Unit Reference

Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP quantitative records for specific NP domains (e.g., NPS from foods or herbs) from domain-specific databases. These databases include:
DUKE: Dr. Duke's Phytochemical and Ethnobotanical Databases.
PHENOL EXPLORER: is the first comprehensive database on polyphenol content in foods [PMID: 24103452], its homepage can be accessed at here.
FooDB: a database of constituents, chemistry and biology of food species [www.foodb.ca].



 Biological Activity

Molecular-level activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference

In vitro activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference
NPT1820 Cell line NCI-H1650 Homo sapiens IC50 = 1100.0 nM PMID[30830783]

In vivo activity

Target ID Target Type Target Name Target Organism Activity Type Activity Relation Value Unit Reference





 Experimental ADME

Experiment Model Experiment Tissue ADME Type ADME Relation ADME Value ADME Unit Reference





 Experimental Toxicity

Quantitative toxicity

Experiment Model Experiment Organism Toxicity Type Toxicity Relation Toxicity Value Toxicity Unit Reference

Common Abbreviations:
LC: Lethal Concentration; LD: Lethal Dose; LT:Lethal Time; NOAEL: No-observed-adverse-effect Level; BMDL: Benchmark Dose Lower Confidence Limit; BMD: Benchmark Dose; BMC:Benchmark Concentration; LOAEL: Lowest Observed Adverse Effect Level; RfD:Reference Dose; RfC:Reference Concentration; MRL: Minimal Risk Level; MEG: Maximum Exposure Guideline; PAC: Protective Action Criteria

Categorical toxicity labels

Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption
Hepatotoxicity Carcinogenicity Mutagenicity Cardiotoxicity Respiratory Toxicity Eye Irritation Endocrine Disruption

Note for Reference:
In addition to directly collecting NP quantitative data from primary literature (where reference will provided as NCBI PMID or DOI links), NPASS also integrated NP toxicity records from domain-specific databases. These databases include:
ToxValDB: a curated database that compiles quantitative toxicity values for chemicals from diverse public sources to support toxicological research and risk assessment.
TOXRIC: a comprehensive, free-to-access, online database providing toxicological/feature data. The toxicity labels are retrieved from this database. [PMID: 36400569]


  Chemically structural similarity

Similar Active Natural Products in NPASS

Top-200 similar NPs were calculated against the active-NP-set (includes approximately 50,000 NPs with experimentally-derived bioactivity available in NPASS)

Similarity is measured using the Tanimoto coefficient (Tc) , which compares the binary fingerprints of two molecules. Tc is calculated as the intersection divided by the union of '1' bits in the fingerprints, ranging from 0 to 1, with 1 indicating highest similarity.

●  The left chart: Distribution of similarity level between NPC603867 and all remaining natural products in the NPASS database.
●  The right table: Most similar natural products (Tc>=0.5 or Top200).

Similarity Score Similarity Level Natural Product ID
1.0 High Similarity NPC286422
0.8333 Intermediate Similarity NPC611384
0.7403 Intermediate Similarity NPC94796
0.7403 Intermediate Similarity NPC611777
0.6882 Remote Similarity NPC189689
0.6517 Remote Similarity NPC476255
0.6512 Remote Similarity NPC131578
0.6512 Remote Similarity NPC611483
0.6465 Remote Similarity NPC162248
0.6386 Remote Similarity NPC607281
0.6353 Remote Similarity NPC482614
0.5978 Remote Similarity NPC223413
0.5977 Remote Similarity NPC608101
0.5882 Remote Similarity NPC476056
0.5882 Remote Similarity NPC488723
0.5783 Remote Similarity NPC475107
0.5783 Remote Similarity NPC43490
0.5783 Remote Similarity NPC605777
0.5747 Remote Similarity NPC488724
0.5657 Remote Similarity NPC158329
0.5657 Remote Similarity NPC55422
0.5657 Remote Similarity NPC75141
0.5618 Remote Similarity NPC488712
0.5618 Remote Similarity NPC475080
0.5618 Remote Similarity NPC488719
0.5588 Remote Similarity NPC476216
0.5435 Remote Similarity NPC488714
0.5435 Remote Similarity NPC488713
0.5426 Remote Similarity NPC476162
0.5408 Remote Similarity NPC40089
0.5408 Remote Similarity NPC47634
0.54 Remote Similarity NPC476311
0.5393 Remote Similarity NPC479154
0.5333 Remote Similarity NPC193222
0.5111 Remote Similarity NPC62444
0.5111 Remote Similarity NPC482613
0.5094 Remote Similarity NPC476146

Similar Clinical/Approved Drugs

Similarity level is defined by Tanimoto coefficient (Tc) between two molecules.

●  The left chart: Distribution of similarity level between NPC603867 and all drugs/candidates.
●  The right table: Most similar clinical/approved drugs (Tc>=0.5 or Top200).

Similarity Score Similarity Level Drug ID Developmental Stage
NPD

Bioactivity similarity

  Bioactivity similarity

Similar Natural Products in NPASS

Similarity level is defined by Bioactivity similarity was calculated based on bioactivity descriptors of compounds. The bioactivity descriptors were calculated by a recently developed AI algorithm Chemical Checker (CC) [Nature Biotechnology, 38:1087–1096, 2020; Nature Communications, 12:3932, 2021], which evaluated bioactivity similarities at five levels:
A: chemistry similarity;
B: biological targets similarity;
C: networks similarity;
D: cell-based bioactivity similarity;
E: similarity based on clinical data.
Those 5 categories of CC bioactivity descriptors were calculated and then subjected to manifold projection using UMAP algorithm, to project all NPs on a 2-Dimensional space. The current NP was highlighted with a small circle in the 2-D map. Below figures: left-to-right, A-to-E.

A: chemistry similarity
B: biological targets similarity
C: networks similarity
D: cell-based bioactivity similarity
E: similarity based on clinical data